AI Software Engineer

3 hours ago

Los Angeles, California, United States TopTalent Full time

We are hiring an AI Software Engineer for a contract-to-hire position onsite in San Francisco. After the initial contract period, the role is intended to convert into a full-time permanent position based on performance.

You will join a compact engineering team working on practical, production-grade AI solutions. The work involves building software systems around modern AI models, integrating machine learning into scalable applications, and improving data and model workflows end to end.

Tasks
  • Design, develop, and maintain software systems built around modern AI technologies.
  • Build and optimize machine-learning pipelines with a focus on scalability and reliability.
  • Collaborate with engineers to define requirements, design system components, and review code.
  • Apply engineering standards: version control, unit testing, documentation, and continuous integration.
  • Design experiments to validate model behavior and improve performance.
  • Work onsite with a small, agile team and contribute to short delivery cycles.
Requirements

Preferred Qualifications

Bachelor's degree in Computer Science, Engineering, or related discipline.

  • 5+ years of experience in software engineering or data/ML engineering.
  • Experience with Azure or other cloud environments.
  • Exposure to big-data platforms such as Databricks, Snowflake, Spark, Impala, Solr, or Kudu.
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with ETL processing and building end-to-end ML workflows.

And more:

  • Strong knowledge of .NET / .NET Core and C#.
  • Professional experience in Python for data engineering or AI model development.
  • Hands-on exposure to LLMs and tools such as ChatGPT, Cursor, or Copilot.
  • Experience building API microservices.
  • Solid understanding of Object-Oriented Programming.
  • Experience with SQL and distributed query debugging.
  • Strong testing discipline, including experimentation and data-driven validation.
  • Ability to work independently and collaborate in an onsite engineering environment.
Benefits
  • Full-time position.
  • Hybrid possible, depending on company policy.
  • Applicants must be legally allowed to work in the region (no sponsorship).

Only apply if you fit the skills

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